Generative Ai On Aws Building Context Aware Multimodal Reasoning Applications Epub
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Generative AI on AWS
Author: Chris Fregly
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2023-11-13
Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with Amazon Bedrock
GenAI on AWS
Author: Olivier Bergeret
language: en
Publisher: John Wiley & Sons
Release Date: 2025-03-19
The definitive guide to leveraging AWS for generative AI GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS. This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of machine learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform. In the book, you'll: Gain invaluable insights from practicing cloud and software engineers on developing cutting-edge generative AI applications using AWS Discover beginner-friendly introductions to AI and machine learning, coupled with advanced techniques for leveraging AWS's AI tools Learn from a resource that's ideal for a broad audience, from technical professionals like cloud engineers and software developers to non-technical business leaders looking to innovate with AI Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, Gen AI on AWS is your gateway to mastering generative AI development on AWS. Seize this opportunity for an enduring competitive advantage in the rapidly evolving field of AI. Embark on your journey to building practical, impactful AI applications by grabbing a copy today.
Serverless Agentic Workflows with Amazon Bedrock
Author: BRIAN. PITMAN
language: en
Publisher: Independently Published
Release Date: 2025-02-19
Serverless Agentic Workflows with Amazon Bedrock: Mastering Agentic AI for Building Self-Directed, Scalable Systems with Integrated Tools, Code Execution, and Responsible Guardrails is your definitive guide to the next generation of intelligent systems. This book unites the power of Amazon Bedrock generative AI and cutting-edge serverless architectures to create context-aware, multimodal applications that are designed to work autonomously in real-world environments. Inside, you will explore how to master generative AI applications, build self-directed AI systems, and design modern agentic architectures that leverage Retrieval-Augmented Generation (RAG) for dynamic, intelligent decision-making. From practical, step-by-step instructions in Python to deep dives into cognitive frameworks for agentic AI, this book offers comprehensive insights into building multi-agent systems that are not only scalable and efficient but also ethically responsible. Learn to integrate external tools, connect seamlessly with CRMs and support repositories, and orchestrate multiple agent actions to create truly autonomous AI systems. Whether you are focused on building innovative, context-aware applications on AWS, mastering agentic RAG architectures, or preparing for the artificial intelligence revolution, this book provides the practical, hands-on approach you need. Designed for engineers, architects, and business leaders, this practical guide to innovation in AI equips you with the skills to future-proof your organization. By blending detailed code illustrations with robust architectural insights, it shows you how to create intelligent systems that meet real-world demands while adhering to best practices for responsible deployment. Transform your approach to AI with a resource that is as forward-thinking as it is practical. Embrace the future of autonomous, agentic AI systems and revolutionize your organization with strategies that drive efficiency, innovation, and lasting success.